Right way to create parallel For loop in Google DataFlow pipeline - google-cloud-dataflow

Question

I have a simple DataFlow java job that reads a few lines from a .csv file. Each line contains a numeric cell, which represents how many steps a certain function has to be performed on that line.
I don't want to perform that using a traditional For loop within the function, in case these numbers become very large. What is the right way to do this using the parallel-friendly DataFlow methodology?
Here's the current Java code:
public class SimpleJob{
static class MyDoFn extends DoFn<String, Integer> {
public void processElement(ProcessContext c) {
String name = c.element().split("\\,")[0];
int val = Integer.valueOf(c.element().split("\\,")[1]);
for (int i = 0; i < val; i++) // <- what's the preferred way to do this in DF?
System.out.println("Processing some function: " + name); // <- do something
c.output(val);
}
}
public static void main() {
DataflowPipelineOptions options = PipelineOptionsFactory
.as(DataflowPipelineOptions.class);
options.setProject(DEF.ID_PROJ);
options.setStagingLocation(DEF.ID_STG_LOC);
options.setRunner(DirectPipelineRunner.class);
Pipeline pipeline = Pipeline.create(options);
pipeline.apply(TextIO.Read.from("Source.csv"))
.apply(ParDo.of(new MyDoFn()));
pipeline.run();
}
}
This is what the "source.csv" looks like (so each number represents how many times I want to run a parallel function on that line):
Joe,3
Mary,4
Peter,2

Answer 1

Curiously enough, this is one of the motivating use cases for Splittable DoFn! That API is currently in heavy development.
However, until that API is available, you can basically mimic most of what it would have done for you:
class ElementAndRepeats { String element; int numRepeats; }
PCollection<String> lines = p.apply(TextIO.Read....)
PCollection<ElementAndRepeats> elementAndNumRepeats = lines.apply(
ParDo.of(...parse number of repetitions from the line...));
PCollection<ElementAndRepeats> elementAndNumSubRepeats = elementAndNumRepeats
.apply(ParDo.of(
...split large numbers of repetitions into smaller numbers...))
.apply(...fusion break...);
elementAndNumSubRepeats.apply(ParDo.of(...execute the repetitions...))
where:
"split large numbers of repetitions" is a DoFn that, e.g., splits an ElementAndRepeats{"foo", 34} into {ElementAndRepeats{"foo", 10}, ElementAndRepeats{"foo", 10}, ElementAndRepeats{"foo", 10}, ElementAndRepeats{"foo", 4}}
fusion break - see here, to prevent the several ParDo's from being fused together, defeating the parallelization